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Computed Tomography01:10

Computed Tomography

4.7K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.7K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

30
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
30
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

1.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
1.7K
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

742
When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...
742
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

253
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
253
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.4K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.4K

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Related Experiment Video

Updated: Jul 31, 2025

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Sample Drift Correction Following 4D Confocal Time-lapse Imaging

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Drift correction in laboratory nanocomputed tomography using joint feature correlation.

Mengnan Liu, Han Yu, Xiaoqi Xi

    Applied Optics
    |May 3, 2023
    PubMed
    Summary

    This study introduces a new projection registration method to correct drift artifacts in laboratory nanocomputed tomography (nano-CT) imaging. The technique significantly improves drift estimation accuracy, enhancing overall nano-CT image quality.

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    Area of Science:

    • Materials Science
    • Imaging Technology
    • Physics

    Background:

    • Laboratory nanocomputed tomography (nano-CT) offers high spatial resolution up to 100 nm, valuable for volumetric analysis.
    • Long-duration nano-CT scans are susceptible to projection drift caused by X-ray source focal spot instability and mechanical thermal expansion.
    • Drift artifacts in reconstructed 3D nano-CT data degrade spatial resolution and imaging quality.

    Purpose of the Study:

    • To develop an effective projection registration method for correcting drift artifacts in nano-CT.
    • To address the limitations of existing methods in handling high noise and contrast variations in nano-CT projections.
    • To improve the accuracy and reliability of drift correction for enhanced nano-CT imaging.

    Main Methods:

    • A novel rough-to-refined projection registration approach is proposed.
    • The method integrates feature information from both the gray and frequency domains of projections.
    • Utilizes rapidly acquired sparse projections for drift correction.

    Main Results:

    • The proposed method demonstrates significantly improved drift estimation accuracy compared to mainstream techniques.
    • Simulation data shows a 5x and 16x improvement in accuracy over random sample consensus and locality preserving matching methods, respectively.
    • The technique effectively mitigates drift artifacts, leading to enhanced nano-CT imaging quality.

    Conclusions:

    • The developed rough-to-refined projection registration method offers a robust solution for drift correction in nano-CT.
    • This approach overcomes challenges posed by noisy and low-contrast projections inherent in nano-CT.
    • The improved imaging quality facilitates more accurate volumetric analysis and material characterization using nano-CT.